Abstract

Background

There is an established correlation between maternal education and reduction in childhood mortality. One proposed link is that an increase in maternal education will lead to an increase in health care access and vaccine uptake. Vaccinations are a central preventative child health tool, therefore demonstrating the importance of understanding factors that can improve coverage. This review aims to establish if there is a correlation between increasing maternal education and vaccine uptake and if this varies between continents, setting and time.

Methods

An electronic database search was conducted using Medline Ovid, Embase and The Cochrane Library using a combination of keywords and appropriate MeSH terms for maternal education and child vaccination. Bibliographies were also hand searched. Data was extracted and entered onto a Microsoft Excel spreadsheet and analysed using STATA 13.0 software. The primary outcome of effect size of maternal education on completion of childhood vaccinations was analysed at different levels. Secondary outcomes were explored using subgroup analyses of differences between continents, rural or urban settings, and dates.

Results

The online search yielded 3430 papers, 37 were included in this study. The analysis showed increasing child vaccination uptake with increasing maternal education. Overall, analysis showed that the odds of full childhood vaccination were 2.3 times greater in children whose mother received secondary or higher education when compared to children whose mother had no education. There was large variability in the effect size between the studies included.

Conclusions

Improving maternal education is important for increasing childhood vaccination uptake and coverage. Further research is needed in higher income countries.

Trial registration

Background

Despite the fact more children than ever are being vaccinated, millions of children each year fail to receive the complete routine immunization schedule [1]. Although the reason for this is likely multifactorial, it has been demonstrated that there is an association between maternal education and vaccination uptake [2, 3].

Childhood vaccinations are imperative for decreasing childhood mortality [1]. For this reason, global initiatives such as the Expanded Program on Immunization (EPI) and the Global Alliance for Vaccine and Immunization (GAVI) have been put in place, outlining essential vaccinations and reinforcing their uptake [4,5,6]. Despite this, it is estimated that 1.5 million children under 5 years die from vaccine-preventable diseases annually [7]. Although literature has shown low caregiver education to be a common variable for under or non-immunization of children, there is no research to confirm whether it is a consistent finding and the overall effect size has not been established [2, 3, 8].

The main aim of this study was to establish the global effect of maternal education on childhood vaccination in those under 12 years by quantifying the association between increasing maternal education and vaccine coverage in children, and assessing the variation in effect of maternal education by continent, setting, and over time.

Methods

Protocol, eligibility criteria, information sources and search

Medline, Embase, and the Cochrane Library were electronically searched on the 29th June 2016 using a combination of keywords and MeSH terms describing maternal education and child vaccination uptake. The search was restricted to English language and limited to those published between 1990 and 2016.

Study selection, data collection and data items

Observational studies of mothers with children under 12 years were included. Studies had an exposure variable of maternal education which is cross comparable such as “level of schooling achieved” or “literate versus illiterate” with a comparison group within the article.

The primary outcome assessed was completion of the full national or EPI schedule. Secondary outcomes were difference between continents, settings and dates.

Studies were subject to the following exclusion criteria: vaccine uptake not presented as raw, unadjusted data; unable to access the full text; review or narrative design; random control trials; case control trials not proportionate to the total population; studies where the exposure was another variable but maternal education was adjusted for in the analysis; studies with the outcome of specific vaccines, receipt of any vaccine, or vaccines not in the EPI.

Two authors (JF and MG, or EC and MG) independently screened all the titles. Abstracts were reviewed of potentially relevant articles, and full texts were retrieved to ascertain whether the inclusion criteria were fully met. Discrepancies were discussed until a consensus was reached. Data was extracted from included papers regarding study characteristics, including publication information (author and year), study country, setting, design, period, population total, children’s age, maternal education parameter and vaccine types. The number of children per maternal education level, the number of children fully vaccinated per maternal education level, and the percentage of children fully vaccinated per maternal education level were extracted for data analysis.

When the paper presented more than one set of results, for example different years, locations or age-groups, the paper was split into alphabetically ordered groups. For the 2 cohort studies included, the oldest age followed in the study was used (7 months old).

Risk of bias

Papers were assessed for quality and risk of bias using an adapted version of the certified “Quality Assessment Tool for Quantitative Studies” by the Effective Public Health Practice Project (EPHPP) [9,10,11]. Each study was assessed according to the representativeness of the sample, study design, controlling of confounders, blinding of exposure for cohort studies, data collection measurements, and reporting of withdrawals and drop outs for cohort studies. The articles were given a global rating of strong, moderate or weak. All studies were kept in regardless of quality due to the small number of studies available and recognition of the limitations of the scoring systems [10, 12].

Summary measures and synthesis of results

For the meta-analysis the maternal education variables were collapsed into a binary categorical variable (“none/primary” and “secondary/higher”). In papers where there were only two categories for maternal education level and the level of education and the type of schooling received was not clear, i.e. “illiterate versus literate”, “not educated versus educated”, the educated variable was classified as “none/primary” as the level of education was not stated. For the six studies that divided papers into the categories “literate” and “illiterate” a separate meta-analysis was conducted for comparison. This is because the quality of education within countries can be highly varied, meaning we cannot conclude that a primary level education will result in maternal literacy [13]. Papers were excluded from the meta-analysis if the lowest level of education category included were “primary / secondary,” “<high school,” or “<12 years.”

A pooled odds ratio, using the collapsed categories from each included paper, was calculated using a DerSimonian-Laird [14] random effects model, as large heterogeneity was anticipated considering the differences in study characteristics, such as varied populations, healthcare, settings and education systems. The analysis was performed in Stata version 13.0 [15].

Sub-group analysis was also conducted for continent, setting, and for date the study was conducted. For the setting sub-group analysis, studies which were performed at a national or regional level were removed. In the date sub-group analysis, the data set was divided into two groups based upon the year that the studies were conducted, before and after 2000 to coincide with the release of the Millennium Development Goals.

All of the extracted papers were included into the pooled estimate analysis. The maternal education levels quoted in the papers were categorised into none, primary, secondary or tertiary to get an overall percentage of children fully vaccinated for each level.

Where dichotomous variables were stated, the lowest level was taken as this was the minimum amount the woman had received. Variables of “can read and write”, “literate” and “mother educated” were categorised as primary as these skills can be achieved from primary school level. Where the paper included a variable with “less than”, the country setting was taken into consideration due to variations in levels of mandatory education between countries.

Forest plots were created for the overall analyses and for each of the stratified analyses. These showed the individual study odds ratios and 95% Confidence Intervals, the DerSimmonian-Laired pooled estimate and the I2-value for heterogeneity.

Publication bias

A scatter plot of number of children included in the studies against the prevalence of fully vaccinated children was created using STATA to assess for publication bias of the included papers.

Results

Study selection

The online search yielded 3430 results. Titles and abstracts were screened and duplicates or irrelevant articles were removed. In total, 218 full texts were retrieved and screened, with 37 articles being included in this review. Reasons for exclusion are outlined in Fig. 1, with the main reason being a lack of raw data.

Four papers were excluded from the meta-analysis as the lowest level of education was higher than primary.

Study range and characteristics

Of the 37 included papers, 35 were cross-sectional studies, the remaining 2 were cohort studies. All of the data from the studies was conducted between 1989 and 2013. India had eight studies, which is the greatest total number of studies per country. When assessing by continent, 18 were undertaken in Africa, 12 in Asia, three in Europe, three in North America and one in South America. This showed a dominance of research in lower income countries. The majority of the studies were regional or national, but six studies were set in urban areas, five in rural and one study compared both. Many were population based studies, and two were conducted in a hospital setting.

Full details of the included articles are presented in Table 1 showing the characteristics of the papers included and the quality of the studies that were compared. The majority (26 studies) were of moderate quality, with only one found to be of strong quality. Ten studies scored a global score of weak but were still included in the analysis due to the small number of studies available. Most of the studies were well conducted, but their cross-sectional study design meant the global score was brought down. The sample size ranged from 220 households (with 110 children) to 21,212 children in a cross-sectional American study. The total number of children was 112,841, with a mean of 836 children and median of 190 children per study (calculated from Table 2). Of the 33 included in the meta-analysis, the total number of children was 92,192, with a mean of 2794 and a median of 693. The age range was from birth to seven years, with the majority of studies using 12–23 months as the objective population due to the EPI schedule targeting this age group [16]. The papers using demographic health survey (DHS) data were conducted on women aged 15–49 years old. On most other papers, this was not specified.

Maternal education levels varied between the study settings, with those set in higher income countries having higher baselines, potentially due to difference in schooling between countries. Dichotomous variables were used in 14 studies where the woman was classed as either literate or not, or above or below a set threshold.

Data extraction

The raw results show a general increase in vaccination completion with increasing maternal education within the separate papers (Table 2). The odd ratios between the highest and lowest education levels within the studies ranged from 0.25, showing a decrease in completion, to 31.88 showing hugely increased odds of the children being fully vaccinated if the mother was more educated than the baseline group. Only two studies showed decreased odds between lowest and highest education levels, with the rest all showing a positive trend. Percentage fully vaccinated also varied widely from 1.0% to 100% with an average of 55.9% having completed the immunisation schedule. These variations are further explored by the meta-analysis.

Meta-analysis

Overall, the meta-analysis showed that the odds of full childhood vaccination were 2.31 times (95% CI 1.90–2.79) greater in children whose mothers had received secondary or higher education when compared to those whose mothers had no education or primary level education (Fig. 2). Although all but four studies showed a positive effect of being highly educated, the effect size varied greatly between papers, with an overall I-squared value of 95.0% (p < 0.001), indicating a high level of heterogeneity.

Fig. 2

Odds ratio of children being fully vaccinated if mother educated to a secondary level compared with no or primary education

Illiteracy vs. literacy

Figure 3 shows a separate meta-analysis of six studies which split mothers based upon whether they were literate or illiterate. It demonstrates full vaccination of children was more likely in mothers that were literate compared to illiterate, with an odds ratio of 2.87 (95% CI 2.39–3.46).

Fig. 3

Odds ratio of children being fully vaccinated if mother is literate compared with illiterate

Continent

Subgroup analysis of continents (Fig. 4) showed the overall effect size is highest in Asia, where the odds of full childhood vaccination were 2.65 times (95% CI 2.08–3.37) greater if the mother was more educated. Only one result out of 11 was not statistically significant (Al-Sheikh et al. 1999a) [17].

Fig. 4

Odds ratio of children being fully vaccinated if mother educated to a secondary level compared with no or primary education, according to continent

The overall effect for Africa was increased odds of 2.34 (95% CI 1.69–3.24) for completion of childhood vaccination with higher maternal education. There were no statistically insignificant papers in this subgroup.

The overall effect was lower in the higher income continent of Europe, with increased odds of 1.47 (95% CI 1.14–1.89) for completion of childhood vaccination with higher maternal education. Furthermore, three-quarters of European papers had statistically insignificant results, and low heterogeneity.

Setting

Within the setting subgroup analysis (Fig. 5), vaccination of children was most likely in highly educated women in rural areas, with an odds ratio 2.17 (95% CI 1.48–3.17). There was no statistically significant difference in the odds ratios between the rural and urban settings.

Fig. 5

odds ratio of children being fully vaccinated if mother educated to a secondary level compared with no or primary education, according to setting

Timing

As seen in Fig. 6, studies conducted before 2000 show an odds ratio of 2.58 (95% CI 2.04–3.26). The overall odds ratio for studies conducted from 2001 is 2.18 (95% CI 1.62–2.94). Although the odds of complete child vaccination are slightly lower in the later time period, there was no statistically significant difference in the odds ratios.

Fig. 6

Odds ratio of children being fully vaccinated if mother educated to a secondary level compared with no or primary education, according to time period

Summary estimate of vaccine completion by maternal education level

Collapsing of the different maternal education variables into the 4 categories, none, primary, secondary or tertiary education, to obtain the pooled estimate of the percentage of children fully vaccinated per strata is shown in Table 3. This demonstrates an increase in completion of vaccination as the maternal education level increases. Only 42.8% (95% CI 35.2–50.4) of children whose mothers had no education were fully vaccinated. This increases to 80.2% (95% CI 75.5–85.0) amongst children whose mothers had completed tertiary education. The pooled summary also shows that there is the overall prevalence of vaccination uptake was 57.8% (95% CI: 52.4–63.1).

However, there is significant heterogeneity between studies, as reflected in the I-squared values. This demonstrates that maternal education is not the only determinant of vaccination uptake.

Discussion

Summary

The primary finding of this review is that an increase in maternal education is correlated with increased childhood vaccination. However, the overall effect size of maternal education on vaccination completion cannot be concluded due to heterogeneity between the studies. Summary estimates of percentage of children fully vaccinated according to the level of maternal education showed a step-wise increase in overall percentages as maternal education increased from none to tertiary. Additionally, a significant difference was shown on the meta-analysis between literate and illiterate women, displaying that increased literacy has a beneficial impact on vaccination uptake.

This review also demonstrated a difference in the size of the effect seen between Asia and Africa compared to Europe. The higher odds ratio of maternal education on vaccination uptake in Asia and Africa may demonstrate that education plays a more important role in lower income countries. This could be due to societal development as areas with better education may also have improved healthcare access. Whilst the effect is lower in Europe, it is still positive. This demonstrates the importance of maternal education even in the presence of good health care programmes.

No difference in the effect of maternal education on vaccine uptake was found between urban and rural settings. It is of note that many of the studies were population based so are likely to be representative; however, two studies were conducted in a hospital setting so are less generalizable.

The results also show no difference in the effect of maternal education on vaccine uptake between time periods.

The heterogeneity seen between the results may be due to a number of other factors which may also affect vaccination uptake, such as availability of the immunizations, distance to healthcare facility, household income and maternal age which would confound the effect size [18]. Despite the presence of confounders, there remains a strong correlation between maternal education and child vaccination completion.

Limitations

As with all studies, this review has some limitations. The main one was the exclusion of non-English papers which could potentially lead to language bias. Moreover, authors were not contacted for the raw data if the study had been excluded due to lack of published data in the required format.

In addition, condensing the maternal education variables may have hidden subtle patterns between the smaller jumps in education level. Furthermore, this meant that in studies with dichotomous variables of educated against not, and illiterate vs literate, the educated variable was also categorised as “none/primary” in the meta-analysis. Due to the differences in the settings of the studies, there was no universal standard for measuring level of education. In order to compare them in this review, they were categorised into set variables which contributed to the high heterogeneity.

Implications of this review

This current review adds further evidence of the association between maternal education and child mortality reduction [19]. It is possible that child vaccination uptake is in fact one of the pathways for which this relationship is seen. It also shows that child vaccination uptake is not solely down to supply of vaccinations, and programs which aim to increase the dispersion of immunizations need to concentrate on these additional factors [20]. Furthermore, it adds to the current argument of the importance of educating women and gender equality [21]. Despite these associations this study does not answer the question of exactly how maternal education increases vaccine uptake. One link may be that increasing maternal education leads to more access to healthcare and therefore vaccine uptake. However, previous studies have theorised that maternal education, specifically literacy, enhance cognition and communication skills which encourage healthier lifestyle choices leading to lower childhood mortality [22].

The meta-analysis looking at literacy levels demonstrated that one of the potential mediators between maternal education and complete vaccination was maternal literacy. This is further supported by Balogun et al. who found that mothers who were literate, regardless of their education level, were more likely to vaccinate their children [23]. This therefore implies that improving the educational standards to ensure literacy will have a greater impact on increased childhood vaccination than simply increasing the throughput of girls in education.

Overall it is clear that female education is crucial in improving child health and should be considered when policies surrounding child health are implemented. Whilst this study cannot provide an overall total effect size of maternal education on child vaccination uptake, it does demonstrate that there is a consistently positive effect. This should be taken into consideration when global health policies aiming to increase the uptake of child vaccination are applied. It also highlights the importance of female education on wider factors other than self-improvement and the economy [19].

Conclusions

This review highlights the positive effect of maternal education on childhood vaccination uptake across different continents, settings, and time periods.

It has been long established that childhood mortality is decreased by childhood vaccination [21]. This analysis identified that increased maternal education leads to increased childhood vaccination uptake and, in turn, will decrease childhood mortality.

References

1.

World Health Organization. State of the world ’ s vaccines and immunization; 2009. p. 1–212.

Shaikh S, Taj TM, Kazi A, Ahmed J, Fatmi Z. Coverage and predictors of vaccination among children of 1-4 years of age in a rural sub-district of Sindh. J Coll Physicians Surg Pakistan. 2010;20(12):806–10.

Rossi R. Do maternal living arrangements influence the vaccination status of children age 12–23 months? A data analysis of demographic health surveys 2010–11 from Zimbabwe. PLoS One. 2015;10(7):e0132357.

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Contributions

JF screened articles, performed data extraction, and was a major contributor in writing the manuscript. SG performed statistical analysis of the data sets. MG and EC screened articles, performed data extraction, and were major contributors in writing the manuscript. LM and HW were involved in study design and contributors in writing the manuscript. All authors read and approved the final manuscript.

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